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Automotive Supply Chain Disruption Risk Management: A Visualization Analysis Based on Bibliometric.

Authors :
Huang, Kai
Wang, Jian
Zhang, Jinxin
Source :
Processes; Mar2023, Vol. 11 Issue 3, p710, 25p
Publication Year :
2023

Abstract

The automobile industry is the pillar industry of the national economy. The good operation of the automobile supply chain is conducive to the sustainable development of the economy and social economy. In recent years, the popular research of automotive supply chain disruption risk management has been widely of concern by both business and academic practitioners. It is observed that most of the literature has focused only on a particular journal or field; there is a distinct lack of comprehensive bibliometric review of two decades, of research on automotive supply chain disruption risk management. This paper delivers a comprehensive bibliometric analysis that provides a better understanding not previously fully evaluated by earlier studies in the field of automotive supply chain disruption risk management. We used the 866 journal article during the period between 2000 and 2022 from the WOS database as sample data. Highlights research topics and trends, key features, developments, and potential research areas for future research. The research problems we solved are as follows: (1) Over time, how does the research in the field of automotive supply chain disruption risk management progress? (2) Which research areas and trends are getting the most attention in the field of automotive supply chain disruption risk management? (i) to recognize the scholarly production; (ii) the most productive authors; (iii) the most productive organization; (iv) the most cited articles; and (v) the most productive countries. (3) What is the research direction of automotive supply chain disruption risk management in the future? Also discusses the shortcomings of literature and bibliometric analysis. These findings provide a potential road map for researchers who intend to engage in research in this field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22279717
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Processes
Publication Type :
Academic Journal
Accession number :
162809561
Full Text :
https://doi.org/10.3390/pr11030710